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Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit.

Authors :
Aimee L McNamara
José Ramos-Méndez
Joseph Perl
Kathryn Held
Naoki Dominguez
Eduardo Moreno
Nicholas T Henthorn
Karen J Kirkby
Sylvain Meylan
Carmen Villagrasa
Sebastien Incerti
Bruce Faddegon
Harald Paganetti
Jan Schuemann
Source :
Physics in Medicine & Biology; Sep2018, Vol. 63 Issue 17, p1-1, 1p
Publication Year :
2018

Abstract

Computational simulations, such as Monte Carlo track structure simulations, offer a powerful tool for quantitatively investigating radiation interactions within cells. The modelling of the spatial distribution of energy deposition events as well as diffusion of chemical free radical species, within realistic biological geometries, can help provide a comprehensive understanding of the effects of radiation on cells. Track structure simulations, however, generally require advanced computing skills to implement. The TOPAS-nBio toolkit, an extension to TOPAS (TOol for PArticle Simulation), aims to provide users with a comprehensive framework for radiobiology simulations, without the need for advanced computing skills. This includes providing users with an extensive library of advanced, realistic, biological geometries ranging from the micrometer scale (e.g. cells and organelles) down to the nanometer scale (e.g. DNA molecules and proteins). Here we present the geometries available in TOPAS-nBio. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
RADIOBIOLOGY
COMPUTER simulation

Details

Language :
English
ISSN :
00319155
Volume :
63
Issue :
17
Database :
Complementary Index
Journal :
Physics in Medicine & Biology
Publication Type :
Academic Journal
Accession number :
131621174
Full Text :
https://doi.org/10.1088/1361-6560/aad8eb